Scholarly Mentions of DiscoverText

Scholarly and Other Mentions of DiscoverText

This list is drawn from Google Scholar and submissions from our users as they get published. It represents a very wide interdisciplinary swath of the academic research industry. The titles suggest a burgeoning new scholarly interest in accessing Twitter data for research and educational purposes. Our search, filter, de-duplication, clustering, human coding, measurement, and machine-learning tools continue to be useful whether you are teaching or researching @twitter or other text data.Read the user reviews here!

Discover central topics and also elusive but valuable unexpected or rare concepts. Use this information to train machine-learning classifiers to recognize relevant text and social media data. Jump into data using an interactive word CloudExplorer or build a mini topic dictionary using “defined” search. Try our new listview for seeing the top 300 bigrams and trigrams in your data